{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as fm\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler, LabelEncoder\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "from sklearn.ensemble import IsolationForest\n",
    "import numpy as np\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from tensorflow.keras.callbacks import LearningRateScheduler\n",
    "from xgboost import XGBClassifier\n",
    "from xgboost import XGBRegressor\n",
    "\n",
    "# 加载本地字体并设置为全局字体\n",
    "font_path = r'c:\\windows\\fonts\\STZHONGS.TTF'\n",
    "my_font = fm.FontProperties(fname=font_path)\n",
    "plt.rcParams['font.family'] = my_font.get_name()\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 加载数据集\n",
    "file_path = 'students.xlsx'\n",
    "data = pd.read_excel(file_path)\n",
    "\n",
    "# 设置 Pandas 的显示选项\n",
    "pd.set_option('display.max_rows', None)  # 显示所有行\n",
    "pd.set_option('display.max_columns', None)  # 显示所有列\n",
    "pd.set_option('display.width', None)  # 自动调整宽度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据集的前几行：\n",
      "   性别  民族 户口所在地   在读情况 家庭经济困难情况        接受学费 申请助学贷款情况 了解助学贷款政策 助学贷款宣传效果 获得贷款难易度  \\\n",
      "0  女  汉族    农村     初中       属于  6000-8000元    申请未获得     了解很少  宣传工作不到位    有些难度   \n",
      "1  女  汉族    农村     初中      不属于  6000-8000元    没有申请过     了解很少  宣传工作不到位    有些难度   \n",
      "2  女  汉族    农村     初中       属于     5000元以下    申请并获得     基本了解   宣传工作到位    比较容易   \n",
      "3  女  汉族    农村     小学       属于     5000元以下    申请并获得     基本了解   宣传工作到位    比较容易   \n",
      "4  女  汉族    城镇  在读大学生      不属于  6000-8000元    没有申请过     基本了解   宣传工作到位    比较容易   \n",
      "\n",
      "    筹集学费方式  贷款违约处理方式   违约影响  \n",
      "0   申请助学贷款  建立还款提醒制度  有一定影响  \n",
      "1   申请助学贷款  建立还款提醒制度  有一定影响  \n",
      "2  向亲朋好友借钱  建立还款提醒制度  有一定影响  \n",
      "3  向亲朋好友借钱  建立还款提醒制度  有一定影响  \n",
      "4  向亲朋好友借钱  建立还款提醒制度  有一定影响  \n",
      "数据集的描述性统计：\n",
      "          性别   民族 户口所在地   在读情况 家庭经济困难情况        接受学费 申请助学贷款情况 了解助学贷款政策 助学贷款宣传效果  \\\n",
      "count   200  200   200    200      200         200      200      200      200   \n",
      "unique    2    1     2      4        2           3        3        2        2   \n",
      "top       女   汉族    农村  在读高中生       属于  6000-8000元    没有申请过     了解很少   宣传工作到位   \n",
      "freq    111  200   164    174      175          84      133      122      162   \n",
      "\n",
      "       获得贷款难易度   筹集学费方式  贷款违约处理方式   违约影响  \n",
      "count      200      200       200    200  \n",
      "unique       3        3         2      2  \n",
      "top       有些难度  向亲朋好友借钱  建立还款提醒制度  有一定影响  \n",
      "freq       150      118       113    113  \n",
      "数据集的列名：\n",
      " Index(['性别', '民族', '户口所在地', '在读情况', '家庭经济困难情况', '接受学费', '申请助学贷款情况', '了解助学贷款政策',\n",
      "       '助学贷款宣传效果', '获得贷款难易度', '筹集学费方式', '贷款违约处理方式', '违约影响'],\n",
      "      dtype='object')\n",
      "缺失值统计：\n",
      " 性别          0\n",
      "民族          0\n",
      "户口所在地       0\n",
      "在读情况        0\n",
      "家庭经济困难情况    0\n",
      "接受学费        0\n",
      "申请助学贷款情况    0\n",
      "了解助学贷款政策    0\n",
      "助学贷款宣传效果    0\n",
      "获得贷款难易度     0\n",
      "筹集学费方式      0\n",
      "贷款违约处理方式    0\n",
      "违约影响        0\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 数据的初步概览和可视化展示\n",
    "print(\"数据集的前几行：\\n\", data.head())\n",
    "print(\"数据集的描述性统计：\\n\", data.describe())\n",
    "print(\"数据集的列名：\\n\", data.columns)\n",
    "\n",
    "# 检查缺失值\n",
    "print(\"缺失值统计：\\n\", data.isnull().sum())\n",
    "\n",
    "# 可视化缺失值\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(data.isnull(), cbar=False, cmap='viridis')\n",
    "plt.title('缺失值热图', fontproperties=my_font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "检测到的离群点（编码后）：\n",
      "     性别  民族  户口所在地  在读情况  家庭经济困难情况  接受学费  申请助学贷款情况  了解助学贷款政策  助学贷款宣传效果  \\\n",
      "1     0   0      0     0         0     1         0         0         0   \n",
      "6     0   0      1     1         0     2         0         1         1   \n",
      "16    0   0      1     1         0     1         0         1         1   \n",
      "18    0   0      1     3         1     0         1         1         1   \n",
      "26    0   0      0     1         0     1         0         1         1   \n",
      "98    0   0      1     2         0     0         0         1         0   \n",
      "108   0   0      1     2         1     0         1         1         1   \n",
      "182   1   0      1     2         0     2         0         0         0   \n",
      "190   1   0      1     2         0     2         0         1         1   \n",
      "198   0   0      1     2         0     1         0         1         1   \n",
      "\n",
      "     获得贷款难易度  筹集学费方式  贷款违约处理方式  违约影响  outlier  \n",
      "1          1       2         0     0       -1  \n",
      "6          2       0         0     0       -1  \n",
      "16         1       1         1     0       -1  \n",
      "18         1       1         1     0       -1  \n",
      "26         2       1         0     1       -1  \n",
      "98         2       2         0     0       -1  \n",
      "108        2       1         1     1       -1  \n",
      "182        0       0         0     0       -1  \n",
      "190        2       0         0     0       -1  \n",
      "198        0       2         0     0       -1  \n",
      "\n",
      "删除离群点后的编码数据集大小： (190, 14)\n",
      "原始数据中的离群点：\n",
      "    性别  民族 户口所在地   在读情况 家庭经济困难情况         接受学费 申请助学贷款情况 了解助学贷款政策 助学贷款宣传效果  \\\n",
      "1    女  汉族    农村     初中      不属于   6000-8000元    没有申请过     了解很少  宣传工作不到位   \n",
      "6    女  汉族    城镇  在读大学生      不属于  8000-10000元    没有申请过     基本了解   宣传工作到位   \n",
      "16   女  汉族    城镇  在读大学生      不属于   6000-8000元    没有申请过     基本了解   宣传工作到位   \n",
      "18   女  汉族    城镇     小学       属于      5000元以下    申请并获得     基本了解   宣传工作到位   \n",
      "26   女  汉族    农村  在读大学生      不属于   6000-8000元    没有申请过     基本了解   宣传工作到位   \n",
      "98   女  汉族    城镇  在读高中生      不属于      5000元以下    没有申请过     基本了解  宣传工作不到位   \n",
      "108  女  汉族    城镇  在读高中生       属于      5000元以下    申请并获得     基本了解   宣传工作到位   \n",
      "182  男  汉族    城镇  在读高中生      不属于  8000-10000元    没有申请过     了解很少  宣传工作不到位   \n",
      "190  男  汉族    城镇  在读高中生      不属于  8000-10000元    没有申请过     基本了解   宣传工作到位   \n",
      "198  女  汉族    城镇  在读高中生      不属于   6000-8000元    没有申请过     基本了解   宣传工作到位   \n",
      "\n",
      "    获得贷款难易度   筹集学费方式  贷款违约处理方式   违约影响  \n",
      "1      有些难度   申请助学贷款  建立还款提醒制度  有一定影响  \n",
      "6      比较容易     勤工俭学  建立还款提醒制度  有一定影响  \n",
      "16     有些难度  向亲朋好友借钱    纳入征信系统  有一定影响  \n",
      "18     有些难度  向亲朋好友借钱    纳入征信系统  有一定影响  \n",
      "26     比较容易  向亲朋好友借钱  建立还款提醒制度   重要影响  \n",
      "98     比较容易   申请助学贷款  建立还款提醒制度  有一定影响  \n",
      "108    比较容易  向亲朋好友借钱    纳入征信系统   重要影响  \n",
      "182    一般难度     勤工俭学  建立还款提醒制度  有一定影响  \n",
      "190    比较容易     勤工俭学  建立还款提醒制度  有一定影响  \n",
      "198    一般难度   申请助学贷款  建立还款提醒制度  有一定影响  \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 编码分类特征并存储到新数据框\n",
    "encoded_data = data.copy()\n",
    "label_encoders = {}\n",
    "for column in encoded_data.select_dtypes(include=['object']).columns:\n",
    "    le = LabelEncoder()\n",
    "    encoded_data[column] = le.fit_transform(encoded_data[column])\n",
    "    label_encoders[column] = le\n",
    "\n",
    "# 使用 Isolation Forest 检测离群点\n",
    "model = IsolationForest(contamination=0.05, random_state=42)\n",
    "\n",
    "# 仅选择数值特征进行离群点检测\n",
    "numerical_data = encoded_data.select_dtypes(include=[np.number])\n",
    "if numerical_data.empty:\n",
    "    print(\"数值数据为空，请检查数据格式或内容！\")\n",
    "else:\n",
    "    # 正确使用fit_predict方法\n",
    "    encoded_data['outlier'] = model.fit_predict(numerical_data.values)\n",
    "\n",
    "    # 提取离群点\n",
    "    outliers = encoded_data[encoded_data['outlier'] == -1]\n",
    "\n",
    "    # 输出离群点\n",
    "    print(f\"检测到的离群点（编码后）：\\n{outliers}\\n\")\n",
    "\n",
    "    # 删除离群点\n",
    "    cleaned_encoded_data = encoded_data[encoded_data['outlier']!= -1]\n",
    "    print(\"删除离群点后的编码数据集大小：\", cleaned_encoded_data.shape)\n",
    "\n",
    "    # 通过索引在原始数据中删除离群点\n",
    "    outlier_indices = outliers.index\n",
    "    cleaned_data = data.drop(index=outlier_indices)\n",
    "\n",
    "    # 输出原始数据中的离群点\n",
    "    original_outliers = data.loc[outlier_indices]\n",
    "    print(f\"原始数据中的离群点：\\n{original_outliers}\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 假设标签列名为 '申请助学贷款情况'\n",
    "label = '申请助学贷款情况'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对每个非数值列进行编码，并保存映射关系（这里重新编码，确保数据格式符合后续模型要求）\n",
    "label_mappings = {}\n",
    "for column in cleaned_data.select_dtypes(include=['object']).columns:\n",
    "    le = LabelEncoder()\n",
    "    cleaned_data[column] = le.fit_transform(cleaned_data[column])\n",
    "    label_mappings[column] = dict(zip(le.classes_, le.transform(le.classes_)))\n",
    "\n",
    "# 打印每个列的编码映射\n",
    "for col, mapping in label_mappings.items():\n",
    "    print(f\"列 '{col}' 的整数编码映射：\")\n",
    "    for original, encoded in mapping.items():\n",
    "        print(f\"  {original} -> {encoded}\")\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算相关系数矩阵\n",
    "correlation_matrix = cleaned_data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 获取与标签的相关系数\n",
    "label_correlation = correlation_matrix[label].drop(label)  # 去掉标签自身的相关系数\n",
    "label_correlation_sorted = label_correlation.abs().sort_values(ascending=False)\n",
    "\n",
    "# 选择与标签相关系数最高的 5个特征\n",
    "top_features = label_correlation_sorted.head(5).index.tolist()\n",
    "\n",
    "# 可视化整个相关系数矩阵，并标出前5个特征\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', cbar_kws={'label': '相关系数'})\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.title('相关系数矩阵（前5个与标签相关的特征已标记）', fontproperties=my_font)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 高亮显示前5个与标签相关的特征\n",
    "for feature in top_features:\n",
    "    plt.gca().add_patch(plt.Rectangle((correlation_matrix.columns.get_loc(feature), \n",
    "                                       correlation_matrix.index.get_loc(label)),\n",
    "                                      1, 1, fill=False, edgecolor='yellow', lw=3))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用前5个特征作为模型输入\n",
    "X = cleaned_data[top_features]\n",
    "y = cleaned_data[label]\n",
    "\n",
    "# 划分训练集和测试集\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 标准化特征\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 构建简单的神经网络模型\n",
    "neural_network_model = Sequential([\n",
    "    Dense(16, activation='elu', input_shape=(X_train_scaled.shape[1],)),\n",
    "    Dense(8, activation='relu'),\n",
    "    Dense(1, activation='sigmoid')\n",
    "])\n",
    "\n",
    "# 编译神经网络模型\n",
    "optimizer = Adam(0.0001)\n",
    "neural_network_model.compile(optimizer=optimizer, loss='binary_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "# 定义学习率调度函数（用于神经网络模型训练）\n",
    "def scheduler(epoch, lr):\n",
    "    if epoch > 10:  # 在第10个epoch之后降低学习率\n",
    "        return lr * 0.9  # 每个epoch将学习率减少10%\n",
    "    return lr\n",
    "\n",
    "# 实例化神经网络模型的学习率调度器\n",
    "lr_scheduler = LearningRateScheduler(scheduler)\n",
    "\n",
    "# 训练神经网络模型，添加学习率调度器\n",
    "neural_network_history = neural_network_model.fit(X_train_scaled, y_train, epochs=100, batch_size=12, validation_split=0.2, callbacks=[lr_scheduler])\n",
    "\n",
    "# 可视化神经网络模型训练过程中的损失和准确率\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(neural_network_history.history['loss'], label='神经网络训练集损失')\n",
    "plt.plot(neural_network_history.history['val_loss'], label='神经网络验证集损失')\n",
    "plt.title('神经网络训练过程中的损失', fontproperties=my_font)\n",
    "plt.xlabel('Epoch', fontproperties=my_font)\n",
    "plt.ylabel('Loss', fontproperties=my_font)\n",
    "plt.legend(prop=my_font)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(neural_network_history.history['accuracy'], label='神经网络训练集准确率')\n",
    "plt.plot(neural_network_history.history['val_accuracy'], label='神经网络验证集准确率')\n",
    "plt.title('神经网络训练过程中的准确率', fontproperties=my_font)\n",
    "plt.xlabel('Epoch', fontproperties=my_font)\n",
    "plt.ylabel('Accuracy', fontproperties=my_font)\n",
    "plt.legend(prop=my_font)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'X_train_scaled' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[14], line 5\u001b[0m\n\u001b[0;32m      2\u001b[0m svm_model \u001b[38;5;241m=\u001b[39m SVC(kernel\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrbf\u001b[39m\u001b[38;5;124m'\u001b[39m, probability\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m      4\u001b[0m \u001b[38;5;66;03m# 训练支持向量机模型\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m svm_model\u001b[38;5;241m.\u001b[39mfit(\u001b[43mX_train_scaled\u001b[49m, y_train)\n\u001b[0;32m      7\u001b[0m \u001b[38;5;66;03m# 构建朴素贝叶斯模型\u001b[39;00m\n\u001b[0;32m      8\u001b[0m naive_bayes_model \u001b[38;5;241m=\u001b[39m GaussianNB()\n",
      "\u001b[1;31mNameError\u001b[0m: name 'X_train_scaled' is not defined"
     ]
    }
   ],
   "source": [
    "# 构建支持向量机模型\n",
    "svm_model = SVC(kernel='rbf', probability=True)\n",
    "\n",
    "# 训练支持向量机模型\n",
    "svm_model.fit(X_train_scaled, y_train)\n",
    "\n",
    "# 构建朴素贝叶斯模型\n",
    "naive_bayes_model = GaussianNB()\n",
    "\n",
    "# 训练朴素贝叶斯模型\n",
    "naive_bayes_model.fit(X_train_scaled, y_train)\n",
    "\n",
    "# 构建xgb模型\n",
    "xgb_classifier_model = XGBClassifier(use_label_encoder=False, eval_metric='logloss')\n",
    "\n",
    "# 训练 XGBoost 分类器模型\n",
    "xgb_classifier_model.fit(X_train_scaled, y_train)\n",
    "\n",
    "# 在测试集上评估神经网络模型\n",
    "neural_network_y_pred = neural_network_model.predict(X_test_scaled).round().astype(int)\n",
    "\n",
    "# 在测试集上评估支持向量机模型\n",
    "svm_y_pred = svm_model.predict(X_test_scaled)\n",
    "\n",
    "# 在测试集上评估朴素贝叶斯模型\n",
    "naive_bayes_y_pred = naive_bayes_model.predict(X_test_scaled)\n",
    "\n",
    "# 在测试集上评估 XGBoost 分类器\n",
    "xgb_y_pred = xgb_classifier_model.predict(X_test_scaled)\n",
    "\n",
    "# 确保在使用label_mapping之前定义它\n",
    "label_mapping = {0: '没有申请过', 1: '申请并获得', 2: '申请未获得'}\n",
    "\n",
    "# 将神经网络模型预测值和实际值映射为中文标签\n",
    "neural_network_y_test_mapped = pd.Series(y_test).map(label_mapping)\n",
    "neural_network_y_pred_mapped = pd.Series(neural_network_y_pred.flatten()).map(label_mapping)\n",
    "\n",
    "# 将支持向量机模型预测值和实际值映射为中文标签\n",
    "svm_y_test_mapped = pd.Series(y_test).map(label_mapping)\n",
    "svm_y_pred_mapped = pd.Series(svm_y_pred).map(label_mapping)\n",
    "\n",
    "# 将朴素贝叶斯模型预测值和实际值映射为中文标签\n",
    "naive_bayes_y_test_mapped = pd.Series(y_test).map(label_mapping)\n",
    "naive_bayes_y_pred_mapped = pd.Series(naive_bayes_y_pred).map(label_mapping)\n",
    "\n",
    "# 将 XGBoost 分类器预测值和实际值映射为中文标签\n",
    "xgb_y_test_mapped = pd.Series(y_test).map(label_mapping)\n",
    "xgb_y_pred_mapped = pd.Series(xgb_y_pred).map(label_mapping)\n",
    "\n",
    "\n",
    "# 生成神经网络模型分类报告\n",
    "neural_network_report = classification_report(neural_network_y_test_mapped, neural_network_y_pred_mapped, output_dict=True, zero_division=1)\n",
    "\n",
    "# 生成支持向量机模型分类报告\n",
    "svm_report = classification_report(svm_y_test_mapped, svm_y_pred_mapped, output_dict=True, zero_division=1)\n",
    "\n",
    "# 生成朴素贝叶斯模型分类报告\n",
    "naive_bayes_report = classification_report(naive_bayes_y_test_mapped, naive_bayes_y_pred_mapped, output_dict=True, zero_division=1)\n",
    "\n",
    "# 生成 XGBoost 分类器分类报告\n",
    "xgb_classifier_report = classification_report(xgb_y_test_mapped, xgb_y_pred_mapped, output_dict=True, zero_division=1)\n",
    "\n",
    "\n",
    "# 可视化神经网络模型分类报告\n",
    "neural_network_df_report = pd.DataFrame(neural_network_report).transpose()\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(neural_network_df_report.iloc[:-1, :].T, annot=True, cmap='coolwarm')\n",
    "plt.title('神经网络分类报告', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 可视化支持向量机模型分类报告\n",
    "svm_df_report = pd.DataFrame(svm_report).transpose()\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(svm_df_report.iloc[:-1, :].T, annot=True, cmap='coolwarm')\n",
    "plt.title('支持向量机分类报告', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 可视化朴素贝叶斯模型分类报告\n",
    "naive_bayes_df_report = pd.DataFrame(naive_bayes_report).transpose()\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(naive_bayes_df_report.iloc[:-1, :].T, annot=True, cmap='coolwarm')\n",
    "plt.title('朴素贝叶斯分类报告', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 可视化 XGBoost 分类器分类报告\n",
    "xgb_classifier_df_report = pd.DataFrame(xgb_classifier_report).transpose()\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(xgb_classifier_df_report.iloc[:-1, :].T, annot=True, cmap='coolwarm')\n",
    "plt.title('XGBoost 分类器分类报告', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# 绘制神经网络模型混淆矩阵\n",
    "neural_network_conf_matrix = confusion_matrix(neural_network_y_test_mapped, neural_network_y_pred_mapped, labels=['没有申请过', '申请并获得', '申请未获得'])\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(neural_network_conf_matrix, annot=True, fmt=\"d\", cmap='coolwarm', xticklabels=label_mapping.values(), yticklabels=label_mapping.values())\n",
    "plt.title('神经网络混淆矩阵', fontproperties=my_font)\n",
    "plt.xlabel('预测值', fontproperties=my_font)\n",
    "plt.ylabel('真实值', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 绘制支持向量机模型混淆矩阵\n",
    "svm_conf_matrix = confusion_matrix(svm_y_test_mapped, svm_y_pred_mapped, labels=['没有申请过', '申请并获得', '申请未获得'])\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(svm_conf_matrix, annot=True, fmt=\"d\", cmap='coolwarm', xticklabels=label_mapping.values(), yticklabels=label_mapping.values())\n",
    "plt.title('支持向量机混淆矩阵', fontproperties=my_font)\n",
    "plt.xlabel('预测值', fontproperties=my_font)\n",
    "plt.ylabel('真实值', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 绘制朴素贝叶斯模型混淆矩阵\n",
    "naive_bayes_conf_matrix = confusion_matrix(naive_bayes_y_test_mapped, naive_bayes_y_pred_mapped, labels=['没有申请过', '申请并获得', '申请未获得'])\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(naive_bayes_conf_matrix, annot=True, fmt=\"d\", cmap='coolwarm', xticklabels=label_mapping.values(), yticklabels=label_mapping.values())\n",
    "plt.title('朴素贝叶斯混淆矩阵', fontproperties=my_font)\n",
    "plt.xlabel('预测值', fontproperties=my_font)\n",
    "plt.ylabel('真实值', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 绘制 XGBoost 分类器混淆矩阵\n",
    "xgb_classifier_conf_matrix = confusion_matrix(xgb_y_test_mapped, xgb_y_pred_mapped, labels=['没有申请过', '申请并获得', '申请未获得'])\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(xgb_classifier_conf_matrix, annot=True, fmt=\"d\", cmap='coolwarm', xticklabels=label_mapping.values(), yticklabels=label_mapping.values())\n",
    "plt.title('XGBoost 分类器混淆矩阵', fontproperties=my_font)\n",
    "plt.xlabel('预测值', fontproperties=my_font)\n",
    "plt.ylabel('真实值', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 对比四个模型的性能\n",
    "\n",
    "# 将四个模型的分类报告合并到一个数据框中\n",
    "df_report_combined = pd.concat([neural_network_df_report, svm_df_report, naive_bayes_df_report, xgb_classifier_df_report], axis=1, keys=['神经网络', '支持向量机', '朴素贝叶斯'])\n",
    "\n",
    "# 可视化对比分类报告\n",
    "plt.figure(figsize=(14, 8))\n",
    "sns.heatmap(df_report_combined.iloc[:-1, :].T, annot=True, cmap='coolwarm')\n",
    "plt.title('神经网络、支持向量机与朴素贝叶斯分类报告对比', fontproperties=my_font)\n",
    "plt.show()\n",
    "\n",
    "# 绘制对比混淆矩阵\n",
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "plt.subplot(1, 3, 1)\n",
    "sns.heatmap(neural_network_conf_matrix, annot=True, fmt=\"d\", cmap='coolwarm', xticklabels=label_mapping.values(), yticklabels=label_mapping.values())\n",
    "plt.title('神经网络混淆矩阵', fontproperties=my_font)\n",
    "plt.xlabel('预测值', fontproperties=my_font)\n",
    "plt.ylabel('真实值', fontproperties=my_font)\n",
    "\n",
    "plt.subplot(1, 3, 2)\n",
    "sns.heatmap(svm_conf_matrix, annot=True, fmt=\"d\", cmap='coolwarm', xticklabels=label_mapping.values(), yticklabels=label_mapping.values())\n",
    "plt.title('支持向量机混淆矩阵', fontproperties=my_font)\n",
    "plt.xlabel('预测值', fontproperties=my_font)\n",
    "plt.ylabel('真实值', fontproperties=my_font)\n",
    "\n",
    "plt.subplot(1, 3, 3)\n",
    "sns.heatmap(naive_bayes_conf_matrix, annot=True, fmt=\"d\", cmap='coolwarm', xticklabels=label_mapping.values(), yticklabels=label_mapping.values())\n",
    "plt.title('朴素贝叶斯混淆矩阵', fontproperties=my_font)\n",
    "plt.xlabel('预测值', fontproperties=my_font)\n",
    "plt.ylabel('真实值', fontproperties=my_font)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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